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Method for defogging single images based on Bayer formats rapidly

A single image and format technology, applied in the field of computer vision, which can solve the problems of heavy algorithm calculation, high time and space complexity, and limited application.

Inactive Publication Date: 2013-02-20
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the dark channel prior model has made a major breakthrough in the dehazing of a single image and obtained a good dehazing effect, because the soft matting algorithm is essentially a problem of solving a large-scale sparse linear equation system, it has a high Time complexity and space complexity make the algorithm computationally intensive and time-consuming, which severely limits its application in video defogging and real-time monitoring of foggy scenes

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  • Method for defogging single images based on Bayer formats rapidly
  • Method for defogging single images based on Bayer formats rapidly
  • Method for defogging single images based on Bayer formats rapidly

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Embodiment 1

[0028] Embodiment 1: Taking the defogging of a single Bayer image as an example, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0029] According to the physical characteristics of light transmission in foggy days, in the field of computer vision and graphics, the optical model of foggy images can be described as follows

[0030] I(x)=J(x)t(x)+A(1-t(x)), (1)

[0031] In formula (1): I(x) is the foggy image (that is, the input image); J(x) is the scene radiance (that is, the restored fog-free image); t(x) is the optical path propagation map, which describes the light transmission rate; A is atmospheric light. The purpose of defogging is to restore t(x) and A from I(x), and then restore the haze-free image J(x).

[0032] At present, digital cameras and digital video cameras all use a CCD / CMOS sensor to receive images, and only one color component can be collected at each pixel point, and the color filter array (Color F...

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Abstract

The invention discloses a method for defogging single images based on Bayer formats rapidly. The method comprises using a quad-tree subdivision algorithm to estimate atmospheric light; calculating atmospheric transmission images based on dark channel prior models, and using Guided Filter to replace Soft Matting to optimize the atmospheric transmission images to further calculate fogless Bayer images; and using a demosaicing algorithm to obtain clear fogless images. According to the method, images of Bayer formats are defogged directly, original data are reduced by 2 / 3 than those through other methods, and the calculation speed is increased greatly on the premise of guaranteeing defogging effects.

Description

Technical field: [0001] The invention relates to the field of computer vision, in particular to a method for quickly defogging a single image based on a Bayer format. Background technique: [0002] Most outdoor vision systems, such as video surveillance, object recognition and satellite remote sensing monitoring, need to obtain clear image features. However, under foggy weather conditions, due to the low visibility of the scene, the contrast of the image is reduced, and the target is blurred, so that the imaging system cannot meet the needs of users. Therefore, it is of great research value to study how to effectively process fog images and reduce the impact of weather conditions on imaging systems. [0003] Using multiple images obtained from different shooting angles or different shooting times for defogging has achieved certain results. However, these methods have specific requirements for input data, making it difficult for ordinary photographers to obtain suitable ima...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张茂军熊志辉娄静涛包卫东谭树人王炜徐玮刘煜王斌陈立栋
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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